Citations

Purpose Although the life expectancy of patients with follicular lymphoma (FL) has increased, little is known of their causes of death (CODs) in the rituximab era. Patients and Methods We pooled two cohorts of newly diagnosed patients with FL grade 1-3A. Patients were enrolled between 2001 and 2013 in two French referral institutions (N = 734; median follow-up 89 months) and 2002 and 2012 in the University of Iowa and Mayo Clinic Specialized Program of Research Excellence (SPORE; N = 920; median follow-up 84 months). COD was classified as being a result of lymphoma, other malignancy, treatment related, or all other causes. Results Ten-year overall survival was comparable in the French (80%) and US (77%) cohorts. We were able to classify COD in 248 (88%) of 283 decedents. In the overall cohort, lymphoma was the most common COD, with a cumulative incidence of 10.3% at 10 years, followed by treatment-related mortality (3.0%), other malignancy (2.9%), other causes (2.2%), and unknown (3.0%). The 10-year cumulative incidence of death as a result of lymphoma or treatment was higher than death as a result of all other causes for each age group (including patients ≥ 70 years of age at diagnosis [25.4% v 16.6%]) Follicular Lymphoma International Prognostic Index score 3 to 5 (27.4% v 5.2%), but not Follicular Lymphoma International Prognostic Index score 0 to 1 (4.0% v 3.7%); for patients who failed to achieve event-free survival within 24 months from diagnosis (36.1% v 7.0%), but not for patients who achieved event-free survival within 24 months of diagnosis (6.7% v 5.7%); and for patients with a history of transformed FL (45.9% v 4.7%), but not among patients without (8.1% v 6.2%). Overall, 77 of 140 deaths as a result of lymphoma occurred in patients whose FL transformed after diagnosis. Conclusion Despite the improvement in overall survival in patients with FL in the rituximab era, their leading COD remains lymphoma, especially after disease transformation. Treatment-related mortality also represents a concern, which supports the need for less-toxic therapies.

Key PointsDUSP22-rearranged ALCLs belong to a distinct subset of ALCLs lacking activated STAT3. DUSP22-rearranged ALCLs have a unique molecular signature characterized by DNA hypomethylation and an immunogenic phenotype.

AbstractThe impact of physical activity (PA) on lymphoma survival is not known. The association of PA and change in PA with overall (OS), lymphoma‐specific (LSS) and event‐free (EFS) survival was evaluated in a prospective cohort of newly diagnosed lymphoma patients (2002‐2012). We calculated Leisure Score Indexes (mLSI) from the self‐reported usual adult PA (baseline) and at 3‐years post‐diagnosis (FU3), grouping patients by active vs insufficiently active by the American Cancer Society PA guidelines. Associations of PA with survival were assessed using hazard ratios (HRs) and 95% confidence intervals (CI) from Cox models stratified by lymphoma subtype, adjusted for age, sex, baseline BMI, and comorbidity score with change scores further adjusted for baseline PA. Three thousand sixty participants were evaluable at baseline and 1371 at FU3. Active patients had superior survival from baseline [HR (CI): OS 0.82 (0.72‐0.94); LSS 0.74 (0.61‐0.90); EFS 0.92 (0.82‐1.02)] and FU3 [HR (CI): OS 0.64 (0.46‐0.88); LSS 0.32 (0.18‐0.59); EFS 0.82 (0.61‐1.10)] compared to insufficiently active. An increase in mLSI from baseline to FU3 (vs stable mLSI) was associated with superior OS (HR = 0.70, CI 0.49‐1.00) and LSS (HR = 0.49, CI 0.26‐0.94).The continuous change in mLSI at FU3 was significantly associated with OS, LSS and EFS; maintained across subgroups and appeared linear. Higher PA among lymphoma patients at diagnosis and 3 years is significantly associated with OS, LSS, and EFS. Increasing PA after diagnosis is significantly associated with improved OS and LSS supporting an important role for PA in lymphoma survivorship and the need for intervention trials.

Abstract Introduction: CLL phenotype (CD5+CD23+CD20dim) MBL is present in 5-10% of the general population. The prevalence and outcomes of adults with non-CLL like MBL (including CD5+CD23-, CD5+CD20bright, and CD5-) are not known. We screened for MBL using highly sensitive flow-cytometry in a clinic-based cohort of adults from the Mayo Clinic Biobank. Methods: The Mayo Clinic Biobank is a large scale bio-repository of 50,000 adults seen in primary care-based clinics. Herein, we focused on those adults ≥40 years who had stored peripheral blood mononuclear cells available (10% of the overall cohort). We screened for MBL using an 8 color (CD38, CD45, Kappa, Lambda, CD19, CD23, CD5 and CD20) flow cytometry assay validated to detect clonal B-cell events to the 0.005% level (1/20,000 events). Chi-square tests were used to assess associations with demographic characteristics. Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) for death. Results: A total of 2594 adults were screened; their median age was 63 years (range, 40-96) and 1111 (43%) were male. 2445/2594 (94%) individuals had interpretable flow cytometry results. A total of 336 (14%) individuals had MBL identified, of whom 276 (82%) had CLL-like MBL and 60 (18%) had non-CLL like MBL (including 39 adults with CD5- and 21 with CD5+CD23- or CD5+CD20 bright phenotype). A strong association between age and the prevalence of non-CLL like MBL was observed, with 0/278 (0%) in 40-49 years, 6/613 (1%) in 50-59 years, 20/674 (3%) in 60-69 years, 21/490 (4%) in 70-79 years, and 13/114 (11%) ≥80 years demonstrating non-CLL like MBL (p<0.001). Non-CLL like MBL was more common in men compared to women (5% vs. 1%; p<0.001). Compared to adults with no MBL, a higher proportion of non-CLL like MBL had a first-degree relative with a lymphoproliferative disorder (8% vs. 17%; p=0.03), and prior non-hematologic cancer (22% vs. 38%, p=0.006). The remainder of the present analysis is focused on adults with non-CLL like MBL (n=60). After a median follow-up of 5 years (range 0-8 years), 3/60 (5%) adults with non-CLL like MBL developed a hematologic malignancy (one myelodysplastic syndrome, two mantle cell lymphoma) compared to 5/2109 (0.2%) adults with no MBL (two large cell lymphoma, one multiple myeloma, one acute myeloid leukemia, one myelofibrosis). Among adults with non-CLL like MBL, the estimated 7-year overall survival (OS) was 79% compared to 94% in those with no MBL (p<0.001, HR for death 3.8, 95% CI 1.98-7.3). After adjusting for age, sex, and self-reported prior non-hematologic cancer, the HR for death was 1.50 (95% CI 0.74-3.05, p=0.26). Conclusion: In this large study, ~1 of 40 adults seen in a primary care setting had non-CLL like MBL. The prevalence of the non-CLL phenotype MBL increased with age. With current follow-up, the risk of progression to an overt lymphoproliferative neoplasm appears to be low. Citation Format: Sameer A. Parikh, Sara J. Achenbach, Kari G. Chaffee, Neil E. Kay, Connie E. Lesnick, James R. Cerhan, Curtis A. Hanson, Tait D. Shanafelt, Susan L. Slager. The prevalence of non-chronic lymphocytic leukemia (CLL) phenotype monoclonal B-cell lymphocytosis (MBL) in a population-based cohort of U.S. adults [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3256.

Abstract Background: We previously identified 5 SNPs at 4 susceptibility loci for diffuse large B-cell lymphoma (DLBCL) in individuals of European ancestry through a large genome-wide association study (Cerhan et al, Nat Gen 2014;46:1233-8); however, much of the heritability remains unexplained. To further elucidate genetic susceptibility to DLBCL, we sought to validate 2 loci at 3q13.33 and 3p24.1 that were suggestive in the original report. Methods: We selected two SNPs rs9831894 (3q13.33) and rs6773363 (3p24.1) for de novo replication from studies at the Mayo Clinic, MD Anderson, and Memorial Sloan Kettering. Logistic regression was used to estimate odds ratios (ORs), using a log-additive model, and adjusting for age, gender and significant eigenvectors for each genotyping center separately. For both SNPs, we then conducted a meta-analysis of all replication studies (n=3) and our original GWAS studies (n=4), encompassing in total 5662 cases and 9237 controls for rs9831894, and 5510 cases and 12,817 controls for rs6773363. Meta-analysis was conducted using the fixed-effects inverse variance method based on the β estimates and standard errors from each study. Results: In a meta-analysis of the 4 original GWAS scans (3856 cases and 7666 controls), rs9831894 (MAF=0.40) was associated with DLBCL risk (OR=0.84, P=4.52 x 10-9) and this replicated in a meta-analysis of the 3 studies with de novo genotyping (OR=0.80, P=4.17 x 10-5); the overall meta-analysis showed a strong association with DLBCL risk (OR=0.83, P=3.62 x 10-13). This locus maps near a plausible candidate gene, CD86, a protein coding gene and a member of the immunoglobulin superfamily that encodes a type I membrane protein. Binding of CD86 with cytotoxic T-lymphocyte-associated protein 4 negatively regulates T-cell activation and diminishes the immune response, while binding of CD86 with CD28 antigen is a costimulatory signal for activation of the T-cell. In a meta-analysis of the same 4 GWAS scans, rs6773363 (MAF=0.45) was tentatively associated with DLBCL risk (OR=1.17, P= 3.68 x 10-7) and this replicated in a meta-analysis of the studies with de novo genotyping (OR=1.27, P=3.78 x 10-7); the overall meta-analysis showed a strong association with DLBCL risk (OR=1.20, P=2.31 x 10-12). This locus also maps near a plausible candidate gene, eomesodermin (EOMES), a transcription factor crucial for embryonic development of the central nervous system and also putatively involved in T-cell differentiation in viral infection defense. Conclusion: In this follow-up analysis of our initial GWAS, we have identified two additional loci associated with risk of DLBCL, the most common lymphoma subtype. These loci provide additional evidence for the role of immune function in the etiology of DLBCL. Citation Format: Geffen Kleinstern, Michelle Hildebrand, Vijai Joseph, Sonja I. Berndt, Hervé Ghesquières, James McKay, Sophia S. Wang, Alexandra Nieters, David Cox, Alain Monnereau, Angela R. Brooks-Wilson, Qing Lan, Mads Melbye, Rebecca D. Jackson, Lauren R. Teras, Mark P. Purdue, Claire M. Vajdic, Demetrius Albanes, Anne Zeleniuch-Jacquotte, Simon Crouch, Yawei Zhang, Susan L. Slager, Xifeng Wu, Karin E. Smedby, Gilles Salles, Christine F. Skibola, Nathaniel Rothman, Stephen J. Chanock, James R. Cerhan. Inherited variants at 3q13.33 and 3p24.1 influences risk of diffuse large B-cell lymphoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 221.